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Hierarchical detection and analysis of macromolecular complexes in cryo-electron tomograms using Pyto software

机译:使用PYTO软件在Cryo-Electron断层图像中的分子检测和分析

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Molecular complexes, arguably the basic units carrying cellular function, can be visualized directly in their native environment by cryo-electron tomography. Here we describe a procedure for the detection of small, pleomorphic membrane-bound molecular complexes in cryo-tomograms by a hierarchical connectivity segmentation. Validation on phantom and real data showed above 90% true positive rates. This segmentation procedure is implemented in the Pyto software package, together with methods for quantitative characterization and classification of complexes detected by our segmentation procedure and for statistical analysis between experimental conditions. Therefore, the methods presented provide a means for the detection and quantitative interpretation of structures captured in cryo-electron tomograms, as well as for the elucidation of their cellular function. (C) 2016 Published by Elsevier Inc.
机译:可以通过冷冻电子断层扫描直接在其本地环境中可视化携带蜂窝功能的基本单位的分子复合物。 在这里,我们描述了通过分层连接分割来检测冷冻截面图中的小型膜结合分子复合物的过程。 验证幻像和实际数据显示出高于90%的真实速率。 该分割程序在Pyto软件包中实施,以及我们分段程序检测到的复合物的定量表征和分类的方法,以及实验条件之间的统计分析。 因此,所示的方法提供了一种用于在冷冻电子断层照片中捕获的结构的检测和定量解释的方法,以及它们的细胞功能的阐明。 (c)2016年由elsevier公司发布

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